bioconductor-genogam
A GAM based framework for analysis of ChIP-Seq data
A GAM based framework for analysis of ChIP-Seq data
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This package allows statistical analysis of genome-wide data with smooth functions using generalized additive models based on the implementation from the R-package 'mgcv'. It provides methods for the statistical analysis of ChIP-Seq data including inference of protein occupancy, and pointwise and region-wise differential analysis. Estimation of dispersion and smoothing parameters is performed by cross-validation. Scaling of generalized additive model fitting to whole chromosomes is achieved by parallelization over overlapping genomic intervals.
Summary
A GAM based framework for analysis of ChIP-Seq data
Last Updated
Nov 6, 2021 at 00:08
License
GPL-2
Total Downloads
37.8K
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